Logo Logo Comparison: DuckDB vs GreenPlum

Modified date: Monday, June 30, 2025

Table of Contents

General

FeatureDuckDBGreenPlumDefinition
introDuckDB is an in-process SQL OLAP database management system. Simple, feature-rich, fast & open source.Tanzu Greenplum is a data warehouse, analytics and AI platform that allows you to unify all your data, transforming it into actionable insights and maintaining a single source of truthin their own words - but I reserved the rights to remove some bold claims like "the best", unless it is widely recognized.
vendorDuckDB LabVMWare
initial release20182005
latested version1.3.0 "Ossivalis"7We don't put a release date here as the software is patching frequently. So tracking it is not much useful.
supported platformsall major OS (Linux, macOS, Windows) and CPU (x86, ARM)

Linux

VMWare later acquired by Broadcom.
supported OS/CPU platforms
db-engines ranking4548ranks from https://db-engines.com/en/ranking (06/25)
relational?yesyesIs it a relational database? (1) Most database are actually with some extensions, for example, nested data types, graph support, etc, which we usually called "multi-model". (2) Some of them are product family, meaning they have more than one database. Here we focus on the main one but explain others when needed.
open source?yesyes (archieved)mainly the engine code
licenseMIT

Apache

It is dual licensed. The archieved version (up to 05/24/24) is Apache. The commercial one is named Tanzu Greenplum by VMWare/BroadCom.
price: box software

0

free download
on-premise offeringyesif no means you can't buy "box" software from them
cloud offering

yes: via MotherDuck

MotherDuck is a cloud data warehouse platform that builds on top of DuckDB, an open-source analytical database. It provides a managed, serverless environment for storing, sharing, and collaborating on data while offering features like cloud storage, a web-based SQL IDE, and hybrid query execution (combining local and cloud processing).
cloud vendors
technical dochttps://duckdb.org/docs/stable/https://techdocs.broadcom.com/us/en/vmware-tanzu/data-solutions/tanzu-greenplum/7.html

SQL

FeatureDuckDBGreenPlumDefinition
SQL: standard complaincehighhigh
Extension MechanismDuckDB ExtensionsC programming, link with engine
basePostgreSQL
max SQL length

undefined

same as PostgreSQL with "StringInfo" container
maximal SQL statement length
PL: mainSQL + PL/PgSQLmain programming lanage: most database suports SQL because SQL is a well established standard. However, each database would like to extend SQL more or less.
PL: other language supportyesPL lanaguage other than PL/SQL, like PL/Java, PL/Rust etc
SP: max parameters100
UDF: max parameters100
SQL: max parameters65535number of parameters in a PREPARED query
SQL: query hintsGUC onlyif it allows use query hints to guide the optimizer
SQL: explicit lockingyes: row, page, table levelLocking is usually an internal matter - so does it allow explicit locking? What levels do they support?
Triggers?yesIf support triggers
Triggers: scopetables, views, foreign tablesWhat objects can have triggers
Triggers: typeBEFORE, AFTER, INSTEAD OFTypes of triggers supported
Object-Relational?yes
vector searchno nativedoes it support vector search

Storage and System

FeatureDuckDBGreenPlumDefinition
arch: serverEmbeddedC/SEmbedded or traditional C/S?
arch: run in browser?yesnoIt also known as a client-side database, is a database that is stored and managed within a user's web browser, rather than on a remote server.
ACID: durabilityyes
Materialized View: support?no
arch: in-memory supportno
arch: Multi-master support?yesif multi-master support?
GreenPlum is based on PostgreSQL with massive OLAP processing enhancement: so MPP is its choice architecture.
replication: sync/asyncbothCan commits wait or w/o wait for replicas to acknowledge
replication: WAL shippingyesUses write-ahead log (WAL) shipping for replication
replication: quorum-based commitnoMultiple synchronous replicas with quorum for commit

Benchmarking

FeatureDuckDBGreenPlumDefinition
any official TPC benchmarks?nonoThe TPC benchmark includes a set of tests simulating real-world scenarios to evaluate database performance.

Tools

FeatureDuckDBGreenPlumDefinition
command line clientduckdbpsqlit means "sql client" for database supporting SQL. For embedded atabase, the client includes the server together.

Export Regulations

FeatureDuckDBGreenPlumDefinition
JurisdictionUSUSWhich country controls export
ECCNNoneNone/5D992An Export Control Classification Number (ECCN) is a five-character alphanumeric code used to categorize items on the Commerce Control List (CCL) for export control purposes. Most database may fall into 5D992.c category, "mass market encryption", which means it has some ordinary encryption related code, for example, the SSL connection code.
Eligible License Exception / CCATSNot required

Not required/

The open source license does not require a ECCN but the Tanzu commerical one needs 5D992.
A License Exception is an authorization that allows you to export or reexport items subject to the EAR without needing to obtain a specific export license, provided certain conditions are met. CCATS stands for Commodity Classification Automated Tracking System. The BIS assigns a CCATS number to products that it has classified under the Commerce Control List (CCL).
Encryption ComponentsSSLSSLCrypto functionality that triggers control

Internal

FeatureDuckDBGreenPlumDefinition
Implementation language

C++

The entire code base is starting from scratch, with emulation C/S layer to PostgreSQL. But implmentation is C++.

C/C++

The PostgreSQL base code is in pure C but the extended part, including the GPOS, GPOrac(optimizer) are in C++.
A DBMS may use mulitple programming languages, for example, supports its stored procedure. The major programming language used to implement the engine.
concurrency controlMVCC
MVCC: implemented?yesif implement MVCC for concurrency control

Internal - Optimizer

FeatureDuckDBGreenPlumDefinition
CBO?yesif it employees a cost based optimizer
frameworkCascadesSystem-R is more like a dynamic programming, bottom up optimizer, while Cascades/Volcano gebaseerd optimizer is more like top-down optimizer.
plan guide?noCan we use plan guide to correct the plan? This is a more systematic and accurate way to repair the plan than plan hints. Especially during system upgrades, if the plan becomes worse, we can use plan guide to force a query to use a previous plan.

Internal - Runtime

FeatureDuckDBGreenPlumDefinition
resource managementsimple: work_mem controls per-operator memory useHow execution memory is allocated and limited.
spilling supportyes"spilling" refers to the process of writing temporary data or intermediate results of a query to disk when the available memory is exhausted. This is crucial for handling large datasets or complex queries that require more memory than available.
modelVolcano + push for parallel and distributed runThe operator scheduling model: pull-gebaseerd (Volcano), push etc.
support intra-parallel query?nomeaning a single query can utilize multi hardware threads to run it
adaptive execution (AQP)?noTraditionally, after the optimizer determines the plan, the runtime must execute it completely without any room for adjustment, such as which of the two tables should be built. The adaptive method allows the runtime to make some adjustments based on the actual situation, and the optimizer must also prepare for this uncertainty, such as preparing an alternative plan.
Error: out-of-range and overflowabort the transactionTo maintain atomic requirement of ACID, database engine usually fail the statement and abort the transaction.